Instructions to use build-small-hackathon/facade-of-jade-qwen3-4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use build-small-hackathon/facade-of-jade-qwen3-4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "build-small-hackathon/facade-of-jade-qwen3-4b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ee53c556e2c79fa289e81f243788e507932618c3414135a92ab0a8afadcbc31
- Size of remote file:
- 14.6 kB
- SHA256:
- ce714c7dd40298a9efdf567b47bc2e5e8065c0ea930f7068a4c68cbdbb924c1a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.